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and/or ongoing industry collaboration. Knowledge and expertise in one or more areas relevant to data engineering science is essential, including but not limited to: Cloud-based data engineering
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: Advanced presentation, automation design, and solution architecture skills. Specific Job Knowledge: Power Automate, Power Apps, API integrations, advanced AI model usage. Equipment Knowledge: Cloud
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: Advanced presentation, automation design, and solution architecture skills. Specific Job Knowledge: Power Automate, Power Apps, API integrations, advanced AI model usage. Equipment Knowledge: Cloud
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Salesforce and Marketing Cloud. Demonstrated writing and editing skills for crafting polished content. Multichannel Expertise: Experience in print, email, digital, and social media platforms. Strategic
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, administration, TCP/IP, DHCP, DNS, routing, project management, and cloud-based technologies (AWS, Azure). Three or more years of successful teaching experience in a college or university is preferred, with a
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with Salesforce (Service Cloud preferred) or similar case management systems, contact center, or interaction management platforms. Demonstrated ability to analyze data and produce actionable reporting
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, conducting quality control on results, uploading results to cloud storage, sharing data with our collaborators at other institutes, and presenting results to the group (see below), and possibly running R
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-functional project teams, providing subject matter expertise in network, system, and cloud security. Perform all other duties as assigned to support the University of Denver’s mission. Knowledge, Skills, and
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innovation, inclusion and continuous improvement. You’ll bring: Experience with cloud platforms and modern full-stack development Strong capability in Python and FastAPI for scalable APIs and microservices
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the technological foundations that power a global institution, driving next-generation capabilities in AI, automation, cloud, quantum, robotics and advanced digital platforms. This is a rare opportunity to architect